| 2023 | WSDM | Calibrated Recommendations as a Minimum-Cost Flow Problem. | Himan Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin A. Carterette, Mounia Lalmas, Tony Jebara |
| 2022 | WWW | Using Survival Models to Estimate User Engagement in Online Experiments. | Praveen Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu, Roberto Sanchis-Ojeda, Tiffany Wu, Ben Carterette, Mounia Lalmas, Tony Jebara |
| 2022 | UAI | Multistate analysis with infinite mixtures of Markov chains. | Lucas Maystre, Tiffany Wu, Roberto Sanchis-Ojeda, Tony Jebara |
| 2021 | RecSys | Accordion: A Trainable Simulator forLong-Term Interactive Systems. | James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara |
| 2020 | WSDM | ADMM SLIM: Sparse Recommendations for Many Users. | Harald Steck, Maria Dimakopoulou, Nickolai Riabov, Tony Jebara |
| 2019 | ICLR | Correlated Variational Auto-Encoders. | Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi |
| 2019 | ICML | Correlated Variational Auto-Encoders. | Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi |
| 2019 | ICML | On the Design of Estimators for Bandit Off-Policy Evaluation. | Nikos Vlassis, Aurlien Bibaut, Maria Dimakopoulou, Tony Jebara |
| 2019 | IJCAI | Marginal Posterior Sampling for Slate Bandits. | Maria Dimakopoulou, Nikos Vlassis, Tony Jebara |
| 2019 | RecSys | Variational low rank multinomials for collaborative filtering with side-information. | Ehtsham Elahi, Wei Wang, Dave Ray, Aish Fenton, Tony Jebara |
| 2018 | EMNLP | Subgoal Discovery for Hierarchical Dialogue Policy Learning. | Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara |
| 2018 | RecSys | Artwork personalization at netflix. | Fernando Amat Gil, Ashok Chandrashekar, Tony Jebara, Justin Basilico |
| 2018 | RecSys | Item Recommendation with Variational Autoencoders and Heterogeneous Priors. | Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara |
| 2018 | WWW | Variational Autoencoders for Collaborative Filtering. | Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, Tony Jebara |
| 2017 | AISTATS | Frank-Wolfe Algorithms for Saddle Point Problems. | Gauthier Gidel, Tony Jebara, Simon Lacoste-Julien |
| 2017 | AISTATS | Initialization and Coordinate Optimization for Multi-way Matching. | Da Tang, Tony Jebara |
| 2016 | AISTATS | Bethe Learning of Graphical Models via MAP Decoding. | Kui Tang, Nicholas Ruozzi, David Belanger, Tony Jebara |
| 2016 | ICML | Binary embeddings with structured hashed projections. | Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun |
| 2015 | IJCAI | Collaborative Place Models. | Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara |
| 2014 | AISTATS | Collaborative Ranking for Local Preferences. | Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara |
| 2014 | UAI | Approximating the Bethe Partition Function. | Adrian Weller, Tony Jebara |
| 2014 | UAI | Understanding the Bethe Approximation: When and How can it go Wrong? | Adrian Weller, Kui Tang, Tony Jebara, David A. Sontag |
| 2013 | AISTATS | Bethe Bounds and Approximating the Global Optimum. | Adrian Weller, Tony Jebara |
| 2013 | ALT | Fast Spectral Clustering via the Nystrm Method. | Anna Choromanska, Tony Jebara, Hyungtae Kim, Mahesh Mohan, Claire Monteleoni |
| 2013 | ICML | \(\propto\)SVM for Learning with Label Proportions. | Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang |
| 2013 | UAI | On MAP Inference by MWSS on Perfect Graphs. | Adrian Weller, Tony Jebara |
| 2011 | MSWIM | A markov routing algorithm for mobile DTNs based on spatio-temporal modeling of human movement data. | Arezu Moghadam, Tony Jebara, Henning Schulzrinne |
| 2009 | ICML | Graph construction and | Tony Jebara, Jun Wang, Shih-Fu Chang |
| 2009 | ICML | Structure preserving embedding. | Blake Shaw, Tony Jebara |
| 2009 | ICMLA | Transformation Learning Via Kernel Alignment. | Andrew G. Howard, Tony Jebara |
| 2009 | ICMLA | Exact Graph Structure Estimation with Degree Priors. | Bert Huang, Tony Jebara |
| 2009 | ICMLA | Structured Prediction with Relative Margin. | Pannagadatta K. Shivaswamy, Tony Jebara |
| 2009 | ICMLA | Structured Prediction Models for Chord Transcription of Music Audio. | Adrian Weller, Daniel P. W. Ellis, Tony Jebara |
| 2009 | UAI | MAP Estimation, Message Passing, and Perfect Graphs. | Tony Jebara |
| 2008 | ECCV | Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines. | Wei Jiang, Shih-Fu Chang, Tony Jebara, Alexander C. Loui |
| 2008 | ICML | Graph transduction via alternating minimization. | Jun Wang, Tony Jebara, Shih-Fu Chang |
| 2008 | UAI | Bayesian Out-Trees. | Tony Jebara |
| 2006 | ICML | Nonstationary kernel combination. | Darrin P. Lewis, Tony Jebara, William Stafford Noble |
| 2006 | ICML | Permutation invariant SVMs. | Pannagadatta K. Shivaswamy, Tony Jebara |
| 2004 | COLT | Kernelizing Sorting, Permutation, and Alignment for Minimum Volume PCA. | Tony Jebara |
| 2004 | ICML | Multi-task feature and kernel selection for SVMs. | Tony Jebara |
| 2004 | ICRA | An SVM Learning Approach to Robotic Grasping. | Raphael Pelossof, Andrew T. Miller, Peter K. Allen, Tony Jebara |
| 2004 | UAI | Dynamical Systems Trees. | Andrew G. Howard, Tony Jebara |
| 2003 | AISTATS | Convex Invariance Learning. | Tony Jebara |
| 2003 | COLT | Bhattacharyya Expected Likelihood Kernels. | Tony Jebara, Risi Kondor |
| 2003 | ICCV | Images as Bags of Pixels. | Tony Jebara |
| 2003 | ICML | A Kernel Between Sets of Vectors. | Risi Kondor, Tony Jebara |
| 2000 | UAI | Feature Selection and Dualities in Maximum Entropy Discrimination. | Tony Jebara, Tommi S. Jaakkola |
| 1999 | ICVS | Action Reaction Learning: Automatic Visual Analysis and Synthesis of Interactive Behaviour. | Tony Jebara, Alex Pentland |
| 1999 | ICVS | An Interactive Computer Vision System DyPERS: Dynamic Personal Enhanced Reality System. | Bernt Schiele, Nuria Oliver, Tony Jebara, Alex Pentland |
| 1998 | ICCV | Mixtures of Eigen Features for Real-Time Structure from Texture. | Tony Jebara, Kenneth B. Russell, Alex Pentland |
| 1998 | ICPR | Efficient MAP/ML similarity matching for visual recognition. | Baback Moghaddam, Tony Jebara, Alex Pentland |
| 1997 | CVPR | Parametrized structure from motion for 3D adaptive feedback tracking of faces. | Tony Jebara, Alex Pentland |
| 1997 | ISWC | Stochasticks: Augmenting the Billiards Experience with Probabilistic Vision and Wearable Computers. | Tony Jebara, Cyrus Eyster, Joshua Weaver, Thad Starner, Alex Pentland |